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Erschienen in: Public Organization Review 2/2016

24.03.2015

How Does Government Size and Structure Respond Empirically to Changes in its Organisational Environment?

verfasst von: Bryane Michael, Maja Popov

Erschienen in: Public Organization Review | Ausgabe 2/2016

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Abstract

Does government size and structure adapt to changes in government’s organisational environment (particularly to uncertainty and complexity) as predicted by organisational theory? We find – using a range of statistical analyses – support for each of the major theories of organisation adaptation (the contingency-based view, resource-based view, and the rational choice view). We find that both government size and structure change – holding other factors constant – for changes in the uncertainty and complexity of governments’ organisational environments. We find seven clusters of governments which adapt their organisational sizes differently in response to changes in the uncertainty and complexity of their organisational environments – and four clusters of governments with differing preferences for the way they adapt governmental structures. We also use the available data to divide governments according to the extent to which they adapt their organisational size and structure reactively (after changes occur in their organisational environment), contemporaneously or strategically (before these changes in their organisational environment occur).

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Fußnoten
1
We will refer to the working paper version of this article, which contains much of the background data analysis and details for readers interested in repeating our work. See Michael and Popov (2011) for more.
 
2
The reader can read any basic text in organisational theory -- like Hatch (1999) -- for a background about these views.
 
3
Senior and Fleming (2006) provide an excellent overview of organisational change and the way that information constraints and planning affects such change.
 
4
We must omit discussing some of the mechanics of our statistical analysis -- such as the way we controlled for multi-collinearity (when different variables correlate with each other), problems with the data which require smoothing out variables’ variances, and so forth. The reader can find more details about these procedures in our larger working paper. We must note though that reverse causality represents an important topic. Government expenditure affects the macroeconomy, much as the macroeconomy affects the size and nature of government expenditure.
 
5
As we noted previously, beta coefficients (which we report in the figure) tend to indicate the relative importance of each variable in explaining and/or predicting the independent variable (government size in the case of this analysis). Variables with higher statistically significant beta coefficients are more likely to have a substantial effect on the independent variable than variables with low beta coefficients.
 
6
We should qualify the term “reasonably confident” with two caveats (which apply to all the conclusions we reach in our regression analysis. First, our statistical tests have small probabilities (less than 5 % and often less than 1 %) of reporting that factors like the complexity and uncertainty of the organisational environment statistically significantly correlate with government sizes when, in fact, they do not (known as Type I error in statistics jargon). Second, if we mis-specified our model, our procedures will show relationships which do not really exist in the data. Problems like these – known as omitted variable bias, collinearity, and so forth – bedevil all empirical studies. We ran all the “usual” tests – often testing other models to check for the robustness of our results. We do not report all these procedures in order to keep this paper readable.
 
7
In the working paper version of this article, we derive the formal model and show more specifically under which circumstances governments with different preferences are likely to respond to changes in their organisational environments.
 
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Metadaten
Titel
How Does Government Size and Structure Respond Empirically to Changes in its Organisational Environment?
verfasst von
Bryane Michael
Maja Popov
Publikationsdatum
24.03.2015
Verlag
Springer US
Erschienen in
Public Organization Review / Ausgabe 2/2016
Print ISSN: 1566-7170
Elektronische ISSN: 1573-7098
DOI
https://doi.org/10.1007/s11115-015-0306-2

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